Portcast is a venture-backed, Singapore-based logistics technology startup helping freight forwarders turn data into better decisions and measurable business impact. Portcast uses AI to surface shipment exceptions, cost risks, and the right actions, helping teams focus on the shipments that need their attention, keep freight costs under control, and make procurement decisions with confidence. Our vision is to be the AI data and intelligence layer that powers exception management and margin improvement on every shipment.
Founded in 2018 and backed by leading technology investors, we are a lean, globally distributed team building technology for an industry going through a major digital transformation.
You'll report directly to our Senior Product Manager and make sure ownership is clear across Engineering, Data, and Solutions, work is progressing as expected, dependencies are being managed, and risks are surfaced early rather than when they become launch problems.
We're looking for someone who understands our product, technology, and data well enough to follow the work, understand why we're building something, spot when execution is drifting from the intended outcome, and know when to bring an issue back to Product for clarification.
No launch delays, cleaner releases, and shorter cycle times, driven by earlier identification of risks, dependencies, and blockers, better coordination across Product, Engineering, Data, and Solutions, and clearer visibility into what is moving, what is blocked, and what needs attention.

Make sure ownership is transparent, work starts when expected, progress is visible, and initiatives continue moving through development, testing, and release.




Track dependencies and surface risks early: Coordinate across Product, Engineering, Data, and Solutions: Make sure teams know who owns what, dependencies are understood, and the right people have the context they need. Help coordinate the handover between Engineering, Data, Solutions, and Product so that the relevant teams have what they need for testing and acceptance.
Understand the goals and key requirements behind an initiative well enough to spot when implementation appears to diverge from what was intended. Surface questions, gaps, or inconsistencies early and bring them back to Product for clarification before they become testing or release issues.
Keep tickets, timelines, project status, dependencies, key decisions, and risks up to date so that the team can quickly understand what is moving, what is blocked, and where attention is needed.
Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
At least 3+ years in project management, program management, delivery, product operations, or a similar role.
Experience managing projects or initiatives involving multiple technical and cross-functional teams in a startup or B2B SaaS environment, ideally in data-heavy domains, and even better in logistics tech or supply chain tech.




Understands data and strong technical foundation. You can read code, understand how systems and data pipelines fit together, and dig into the work alongside engineers and data scientists. You can translate between Product, Engineering, Data, and customer-facing teams. Work at the intersection of Product, AI, Data, and Logistics: Our products combine software, data, machine learning, and deep logistics expertise. You'll get exposure to complex product problems where the challenge isn't simply building software, but making sure data, models, workflows, and customer needs come together.
There is no large PMO or layer of project managers around you. Globally distributed, remote-first flexibility: work with a fully distributed team across Asia and Europe, built on trust, accountability, and collaboration.
We stay close to the work and the data.
We hold a project together end to end and stay on it until it ships cleanly.
Effective: We focus on shipping what was actually intended, on time, with real impact, not process for its own sake.
Join us at Portcast in our vision to become the AI data and intelligence layer that powers exception management and margin improvement on every shipment.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. If you would like more information about how your data is processed, please contact us.

📌 Remote Technical Program Manager (Chennai)
🏢 Portcast
📍 Chennai